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• Intro
• Preface
• Contents
• Editors and Contributors
• Optimal Placement of Phasor Measurement Units Considering Channel Limits Under Various Contingencies
• 1 Introduction
• 2 Problem Formulation
• 2.1 Measurement Redundancy
• 2.2 Zero Injection Bus
• 2.3 Single PMU Loss or Single Line Outage
• 2.4 Channel Limits
• 3 Optimal Placement of Phasor Measurement Unit
• 4 Result Analysis
• 5 Conclusion
• References
• Adaptive Deep Recurrent Neural Network-Based COVID-19 Healthcare Data Prediction for Early Risk Prediction
• 1 Introduction
• 2 Related Works

• 2.1 Problem Identification Factors
• 3 Proposed Method
• 3.1 Preprocessing
• 3.2 Intrinsic Covid Defect Rate
• 3.3 Relative Cluster-Intensive Feature Selection
• 3.4 Adaptive Deep Vectorized Recursive Neural Network
• 4 Experimental Results and Discussion
• 5 Conclusion
• References
• Maximum Decision Support Regression-Based Advance Secure Data Encrypt Transmission for Healthcare Data Sharing in the Cloud Computing
• 1 Introduction
• 1.1 The Novelty of This Paper
• 2 Related Work
• 2.1 Problem Factors
• 3 Proposed Method
• 3.1 Node Efficiency Hit Rate (NEHR)

• 3.2 Efficient Spider Optimization Scheme
• 3.3 Maximum Decision Support Regression
• 3.4 Advanced Secure Data Encrypt Transmission (ASDET)
• 4 Result and Discussion
• 5 Conclusion
• References
• Routing Integrity Mechanism to Prevent Wormhole Attacks in Vehicular Adhoc Networks
• 1 Introduction
• 2 Literature
• 3 Delay-Sensitive Message Integrity Mechanism to Isolate the Wormhole Attacks
• 4 Result Analysis
• 5 Conclusions
• References
• A Detailed Analysis on Spam Emails and Detection Using Machine Learning Algorithms
• 1 Introduction
• 2 Types of Spam

• 2.1 Understanding How Spammers Gets Address
• 2.2 Problems with Spamming
• 2.3 Types of Spam Filters
• 2.4 Factors to Determine if Email Is Spam or Ham
• 2.5 Working of Gmail Spam Filter
• 2.6 Working of Outlook Spam Filter
• 2.7 Working of Yahoo Spam Filter
• 3 Literature Review
• 4 Analysis of Machine Learning Algorithms
• 5 Conclusion
• References
• Advanced Encryption Standard-Based Encryption for Secured Transmission of Data in Cognitive Radio with Multi-channels
• 1 Introduction
• 2 Literature Survey
• 2.1 Related Works
• 3 Proposed MPC Protocol for Channel Allocation

• 3.1 Optimized LSTM Classifier
• 3.2 SU-SMO Algorithm
• 4 Suggested Secure Data Transmission Using AES Protocol
• 4.1 Channel Sensing Phase
• 4.2 Contention Phase
• 4.3 Data Transmission Phase
• 4.4 AES
• 4.5 Encryption
• 4.6 Decryption
• 5 Results and Discussion
• 5.1 Simulation Procedure
• 5.2 Performance Evaluation with Regard to Average Backoff
• 5.3 Performance Evaluation with Regard to Sensing Delay
• 5.4 Performance Evaluation with Regard to Throughput
• 5.5 Performance Evaluation with Regard to Channel Utilization
• 5.6 Convergence Analysis
• 6 Conclusion
• References
• Multi Energy-Harvesting Smart Water Meter Design for Underground Water Pipeline Leakage Detection

This book presents selected papers from the 7th International Conference on Inventive Systems and Control (ICISC 2023), held on January 3031, 2023, at JCT College of Engineering and Technology, Coimbatore, India. The conference proceedings of ICISC 2023 include an analysis of the class of intelligent systems and control techniques that utilizes various artificial intelligence technologies, where there are no mathematical models and system available to make them remain controlled. Inspired by various existing intelligent techniques, the primary goal of ICISC 2023 proceedings is to present the emerging innovative models to tackle the challenges faced by the existing computing and communication technologies

• Optimal Resource Sharing amongst Device-to-Device Communication using Particle Swarm Algorithm.- Real Time Human Locator and Advance Home Security Appliances.- A Novel Implementation of Haptic Robotic Arm.- Design of Book Recommendation System Using Sentiment Analysis.- Review of Python for Solar Photovoltaic Systems.- Key Stroke Dynamics for User Verification.- The Role of Predictive Data Analytics in Retailing.- Improved Scheduling Algorithm for Load Balancing in Cloud Computing.- Generating Automobile Images Dynamically from Text Description.- Generating Automobile Images Dynamically from Text Description.- Identification of Online Auction Bidding Robots using Machine Learning.- Analysis of Attention Deficit Hyperactivity Disorder using Various Classifiers.- Generating Feasible Path Between Path Testing and Data Flow Testing.- Parking Management System Using Internet of Things.- Binomial Logistic Regression Resource Optimized Routing In MANET.- Homo Sapiens Sapiens Diabetes Mellitus Detection and Classification.- Improved Logistic Map based Algorithm for Biometric Image Encryption.- Accuracy Analysis of Similarity Measures in Surprise Framework.- Tunable Access Control for Data Sharing in Cloud.- Conceptual Online Education using E-Learning Platform of Cloud Computing.- Efficient Deployment of Web Application in Serverless Environment.
• (source: Nielsen Book Data)

This book features selected research papers presented at the International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN 2020), held at the Sir M. Visvesvaraya Institute of Technology on 20-21 February 2020. Discussing advances in evolutionary computing technologies, including swarm intelligence algorithms and other evolutionary algorithm paradigms which are emerging as widely accepted descriptors for mobile sustainable networks virtualization, optimization and automation, this book is a valuable resource for researchers in the field of evolutionary computing and mobile sustainable networks.
(source: Nielsen Book Data)

• Wind Turbine Alarm Management with Artificial Neural Networks.- Convolutional Neural Networks as a Quality Control in 4.0 Industry for Screws and Nuts.- Proposal of an Efficient Encryption Algorithm for Securing Communicated Information.- Discernment of Unsolicited Internet Spamdexing using Graph Theory.- Unique Authentication System in End-To-End Encrypted Chat Application.
• (source: Nielsen Book Data)

This book presents selected papers from the 6th International Conference on Inventive Systems and Control (ICISC 2022), held on 6-7 January 2022 at JCT College of Engineering and Technology, Coimbatore, India. The conference proceedings of ICISC 2022 includes an analysis of the class of intelligent systems and control techniques that utilizes various artificial intelligence technologies, where there is no mathematical models and system available to make them remain controlled. Inspired by various existing intelligent techniques, the primary goal of ICISC 2022 proceedings is to present the emerging innovative models to tackle the challenges faced by the existing computing and communication technologies.
(source: Nielsen Book Data)

• Improved Grey wolf Optimization based Feature selection and classification using CNN for Diabetic Retinopathy detection.- Feature Selection Using Modified Sine Cosine Algorithm with COVID-19 Dataset.- Blood Cell Image Denoising based on Tunicate Rat Swarm Optimization with Median Filter.- A Hybrid Approach for Deep Noise Suppression using Deep Neural Networks.- Human Health Care Systems Analysis for Cloud Data Structure of Biometric System using ECG Analysis.- Data mining for Solving Medical Diagnostics Problems.- Classification of Diabetic Retinopathy using Ensemble of Machine Learning Classifiers with IDRID Dataset.- Epileptic Seizure Prediction Using Geometrical Features Extracted From HRV Signal.- An Extensive Survey on Outlier Prediction using Mining and Learning Approaches.- Performance Comparison of Data Security Strategies in Fog Computing.- Design and Simulation of a Direct-PSK Based Telecommand Receiver for Small Satellite
• Analysis of Data Aggregation and Clustering Protocol in Wireless Sensor Networks using Machine Learning.- DetecSec : A Framework to Detect and Mitigate ARP Cache Poisoning Attacks.- PAPR Reduction in SDR based OFDM System.
• (source: Nielsen Book Data)

This book mainly reflects the recent research works in evolutionary computation technologies and mobile sustainable networks with a specific focus on computational intelligence and communication technologies that widely ranges from theoretical foundations to practical applications in enhancing the sustainability of mobile networks. Today, network sustainability has become a significant research domain in both academia and industries present across the globe. Also, the network sustainability paradigm has generated a solution for existing optimization challenges in mobile communication networks. Recently, the research advances in evolutionary computing technologies including swarm intelligence algorithms and other evolutionary algorithm paradigms are considered as the widely accepted descriptors for mobile sustainable networks virtualization, optimization, and automation. To deal with the emerging impacts on mobile communication networks, this book discusses about the state-of-the research works on developing a sustainable design and their implementation in mobile networks. With the advent of evolutionary computation algorithms, this book contributes varied research chapters to develop a new perspective on mobile sustainable networks.
(source: Nielsen Book Data)

• Chapter 1. Knowledge Graphs in Recommender Systems.-
• Chapter 2. Cyberbullying Detection on Social Media using SVM.-
• Chapter 3. Ultraviolet Radiation in Healthcare Applications: A Decades-old Game Changer Technology in COVID'19.-
• Chapter 4. Multi-agent Ludo Game Collaborative Path Planning based on Markov Decision Process.-
• Chapter 5. An Analysis of Epileptic Seizure Detection and Classification using Machine Learning based Artificial Neural Network.-
• Chapter 6. Improving Image Resolution On Surveillance Images using SRGAN.-
• Chapter 7. Smart City: Recent Advances and Research Issues.-
• Chapter 8. HOUSEN: Hybrid Over-Under Sampling and Ensemble Approach for Imbalance Classification.-
• Chapter 9. E-Pro: Euler Angle and Probabilistic Model for Face Detection and Recognition.-
• Chapter 10. Classification of Covid-19 Tweets Using Deep Learning Techniques.-
• Chapter 11. Applied Classification Algorithms used in Data Mining During the Vocational Guidance Process in Machine Learning.-
• Chapter 12. Meta-heuristic Algorithm for the Global Optimization: Intelligent Ice Fishing Algorithm.-
• Chapter 13. Progression of EEG-BCI Classification Techniques : A Study.-
• Chapter 14. Cuckoo Scheduling Algorithm for Lifetime Optimization in Sensor Networks of IoT.-
• Chapter 15. Design & Development of an Automated Snack Maker with CNN based Quality Monitoring.
• (source: Nielsen Book Data)

This book presents selected papers from the 5th International Conference on Inventive Systems and Control (ICISC 2021), held on 7-8 January 2021 at JCT College of Engineering and Technology, Coimbatore, India. The book includes an analysis of the class of intelligent systems and control techniques that utilises various artificial intelligence technologies, where there are no mathematical models and systems available to make them remain controlled. Inspired by various existing intelligent techniques, the primary goal is to present the emerging innovative models to tackle the challenges faced by the existing computing and communication technologies. The proceedings of ICISC 2021 aim at presenting the state-of-the-art research developments, trends, and solutions for the challenges faced by the intelligent systems and control community with the real-world applications. The included research articles feature the novel and unpublished research works on intelligent system representation and control.
(source: Nielsen Book Data)

• Utilization of Sensors for Energy Generation using Pressure or Vibrations.- Modeling and Optimization of Discrete Evolutionary Systems of Information Security Management in a Random Environment.- Gender Identification using Ensemble Linear Discriminant Analysis Algorithm based on Facial Features.- Software Stack for Autonomous Vehicle: Motion Planning.- Transformers for Speaker Recognition.- Real-time Face Mask Detection using MobileNetV2 Classifier.- Spoken Language Identification for Native Indian Languages using Deep Learning Techniques.- Smart Attendance System using Machine Learning Algorithms.- Novel Approach to Phishing Detection Using ML and Visual Similarity.- Text Summarization of Articles using LSTM and Attention-based LSTM.
• (source: Nielsen Book Data)

This book involves a collection of selected papers presented at International Conference on Machine Learning and Autonomous Systems (ICMLAS 2021), held in Tamil Nadu, India, during 24-25 September 2021. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers selected papers in the area of emerging modern mobile robotic systems and intelligent information systems and autonomous systems in agriculture, health care, education, military and industries.
(source: Nielsen Book Data)